Scenario
As you will recall, Project One had you prepare to analyze HR attrition data to help leadership visualize patterns in the data. Your plan for this project was approved with great enthusiasm. You will now analyze the HR attrition data and provide your metrics as well as your thoughts.
Directions
Part 1: Narrative
Write your narrative, including screenshots as required. You must specifically address the following questions in your narrative:
• Establish a baseline using the merged data set that you created in Project One. Include a screenshot to show your baseline.
o Use exploratory data analysis (EDA) to answer: What did you learn from the data as it relates to the original business question(s) we are trying to answer?
o Create visualizations from your EDA (using Plotly, etc.) that can be used to describe what you have learned from the data.
• Select and create the appropriate features for your predictive model. Include screenshots of your engineering of features.
o Which features will you use in your predictive analysis?
o Using Python, show how you engineer your features to prepare your data model
• Apply two predictive models to the data to show variation in predictability of the results. Include screenshots of your models.
o Use the two models you selected in the Module Five assignment.
o #My Notes: This class sucks and the professor is of little help, so I had no idea what to pick since I have only lightly used decision trees and random forests in stats classes. Here are the choices from that assignment, please use whatever two you think are best suited to this project: Ordinary least squares, Generalized linear models (GLM), Logistic regression, Random forests, Decision trees, Neural networks, Multivariate adaptive regression splines (MARS)
• Explain how accurately you can predict outcomes based on the data.
o What is the question being asked of you?
o How can you answer it?
Part 2: Presentation
Present your results to an executive-level audience including visualizations and conclusions. Specifically address the following in your presentation:
• Apply a visualization technique to demonstrate outcomes from your predictive models.
o Use a visualization technique appropriate for your audience and objective.
o How does your visualization tell the story you want to tell?
• Deliver results of your analysis in a manner appropriate for your audience.
o Using PowerPoint, deliver the data for an executive-level audience, drawing specific conclusions and offering opportunities to address the original questions.
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